Webinar: Developing a Cost-Effective Analytics Roadmap for the Healthcare Industry

Join us for our next Webinar: Developing a Cost-Effective Analytics Roadmap for the Healthcare Industry

Thursday, October 10th 2013, 1pm

The healthcare industry has been overrun by a slew 0f big data, and also some new regulations, in the past few years, so much so that it’s become an overwhelming burden just to keep up.  Much of that data is being stored in data warehouses; or even worse, filing cabinets; where it can end up sitting until it becomes little more than dusty history.  What the healthcare industry needs is an analytics roadmap which will allow them use these critical data to improve hospital management, reduce overall costs, monitor patient care, and also prepare them for the future.

 

See what your KPIs could look like in business intelligence dashboards!

See what your KPIs could look like in business intelligence dashboards!

This webinar will show healthcare industry personnel how to:

  • Determine what is most important now for their hospital or practice
  • How to put together a roadmap which will highlight these important Key Performance Indicators (KPIs)
  • How to put that roadmap to use in order to map out the future of your enterprise

Schedule:

  • There will be a 30-minute overview of BI and how an analytics roadmap is developed, as well as a demonstration of the BI@S Healthcare KPI Tool and some examples of interactive dashboards.
  • 30 minutes of questions from health care industry professionals to help guide them in actually developing the first steps of an analytics roadmap during the webinar.  Questions during this period will be taken only from healthcare professionals, not from vendor representatives!

Speakers:

 

  • Jay Stanell, Process & Metrics Specialist for BI@S
  • Dan Pirato, Customer Engineer for BI@S
  • Paul Grabham, CEO of BI@S

This webinar is the first in our series for Analytics in the Healthcare Industry.

Register here for our next Webinar!

Register here for our next Webinar!

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